In this course, you'll discover the main features and benefits of the Python programming language, and how Python can help power your data analysis. Python is an object-oriented programming language based on objects that contain data and useful code. You’ll become familiar with the core concepts of object-oriented programming: object, class, method, and attribute. You’ll learn about Jupyter Notebooks, an interactive environment for coding and data work. You’ll investigate how to use variables and data types to store and organize your data; and, you'll begin practicing important coding skills.

By the end of this course, you will be able to: - Explain Python fundamentals, including core Python syntax, data types (integer, float, string), and variable assignment - Define fundamental concepts like object, class, method, and attribute in object-oriented programming - Recognize the uses and benefits of Jupyter Notebook for data work and as a Python environment - Identify Python's relevance to data science and why it is an essential tool for data analysis - Perform basic mathematical calculations in Python - Use Python's inherent capabilities to explore data effectively with built-in functions and keywords - Gain knowledge of how to manage and utilize Python packages and interpreter options